
Senior Data Engineer-Support
3 days ago
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Our values Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth
About the Team
The One Cognite Customer Support team is a globally distributed group of technical experts including Support Data Engineers, Support Solution Architects, and Support Specialists focused on ensuring customer support and success
We deliver high-quality support across four tiers of enterprise-grade customer support service from maintaining stable day-to-day operations to proactive monitoring, strategic alignment, and customer cases/issue resolution. Our mission is to enable customers to get the most value from Cognite Data Fusion by ensuring their deployments run reliably and efficiently at scale
About the Role
We are seeking a Senior Data Engineer-Support with a strong blend of data and software engineering skills. You will be responsible for supporting production environments, troubleshooting customer deployments, and implementing proactive monitoring and operational improvements
This role requires both deep technical capabilities and a customer-first mindset, with a focus on resolving issues efficiently, maintaining system stability, and driving continuous improvement. You'll play a critical part in supporting 24/7 operational readiness in collaboration with global teams. Troubleshooting Issues & Customer Support Investigate and debug complex customer-reported issues related to data pipelines, integrations, data models, and Cognite Data Fusion functionality. Work closely with customer teams to understand production incidents, reproduce issues, and implement reliable fixes or workarounds. Analyze data failures, system errors, and unexpected behaviours across API integrations, custom code, and third-party data sources. Maintain and improve the reliability and performance of existing data pipelines by proactively identifying bottlenecks, configuration mismatches, or usage anomalies. Collaborate with engineering and product teams to escalate platform issues, suggest improvements, and contribute to long-term resolutions. Advanced and Enterprise-Level Support Serve as the technical point of contact for customer support cases, particularly complex and high-priority issues. Perform in-depth troubleshooting and diagnostics, including custom code reviews and third-party data source integrations. Engage in regular case reviews, root cause analyses, and progress updates aligned with customer SLAs. Participate in on-call rotations to ensure 24/7 coverage and rapid response to critical issues. Implement and manage proactive monitoring and alerting systems to detect and address issues before they escalate. Customer Enablement & Knowledge Sharing Create clear documentation, "how-to" guides, and knowledge base articles to accelerate issue resolution and reduce repeat tickets. Work closely with internal product and engineering teams to relay customer feedback and prfioritize product improvements. Skills And Experience Bachelor's or Master's degree in Computer Science, Engineering, or related fields. 3 years in a data-intensive, customer-facing role with experience in technical support in a SaaS or Data platform environment, ideally in a Tier 2/3 or engineering-focused support function. Strong programming skills in Python and SQL; experience working with REST APIs. Familiarity with cloud platforms (Azure, GCP), Kubernetes, and CI/CD tools. Experience maintaining production-grade data pipelines and workflows in live customer environments. Knowledge of industrial data systems or domains such as Oil & Gas, Power, or Manufacturing is a plus. Experience with tools like Grafana, Power BI, or GraphQL is a bonus. Strong problem-solving and troubleshooting skills. Excellent English communication skills and a customer-centric mindset. What We Offer A high-impact role supporting enterprise customers using industry-leading data infrastructure. The opportunity to work closely with global teams and cutting-edge technology. Exposure to advanced enterprise support practices including SLAs, proactive diagnostics, and strategic alignment. Growth opportunities into technical leadership, solution architecture, or platform reliability roles. Join the global Cognite community Join an organization of 70 different nationalities with Diversity, Equality and Inclusion (DEI) in focus Office location Rathi Legacy (Rohan Tech Park ) Hoodi (Bengaluru A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata to know more Flat structure with direct access to decision-makers, with minimal amount of bureaucracy Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB to be part of the conversation directly with Cogniters and our partners Hybrid work environment globally
Why choose Cognite? Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainabilityfor clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader Most recently Cognite Data Fusion Achieved Industry First DNV Compliance for Digital Twins
Apply today If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today We welcome candidates of all backgrounds and identities to join our team
We encourage you to follow us on Cognite LinkedIn; we post all our openings there
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